2021-06-15
Lou Bajuk
Data science teams sometimes believe that they must standardize on R or Python for efficiency, at the cost of forcing individual data scientists to give up their preferred, most productive language. RStudio’s professional products provide the best single home for R and Python data science, so teams can optimize the impact their team has, not the language they use.
Read more →
2021-06-10
Rachael Dempsey
From establishing your first data science team, to growing your team, and stepping into leadership roles, check out the Q&A from the Building Effective Data Science Teams webinar audience questions
Read more →
2021-06-08
Mike Stackhouse (Atorus Research)
When it comes to adopting open source tools into clinical processes, there are many questions that have to be addressed, such as how do we migrate legacy workflows over to new programming languages? How do we upskill a workforce to use these new tools? Join us June 22nd for a discussion with Michael Rimmler about how GSK was able to do this.
Read more →
2021-06-03
Rachael Dempsey
Last month’s webinar featured data science leaders from Caliber Home Loans, The Looma Project, Saturn Cloud, T-Mobile, and Warner Music Group to start to answer the question, “What does it take to build a successful data science team?”
Read more →
2021-05-25
Samantha Toet
On June 16th, we’ll be teaming up with eoda and Covestro to discuss—in German—how they put their data science into production by developing a unified infrastructure.
Read more →
2021-05-18
Jesse Mostipak
Data Driven West Virginia, in collaboration with the WV Army National Guard, built a COVID vaccine management system using Shiny to help quickly and efficiently distribute vaccines throughout the state.
Read more →
2021-05-12
Lou Bajuk and Nick Rohrbaugh
While you may already be a practitioner of code-first data science with R or Python, chances are you work within a larger organization with many analytic tools. In this post, we give you some advice on navigating this landscape, and convincing others in your organization of the value of code-first data science.
Read more →
2021-05-04
James Blair
APIs can dramatically increase the impact of data analytics by making real time results accessible to a larger audience. RStudio empowers organizations to both create and use analytic APIs.
Read more →
2021-04-08
Julia Silge
Model monitoring is a key component of ModelOps, and the R ecosystem offers flexible, code-first solutions that meet the model monitoring needs of data science practitioners.
Read more →
2021-04-01
Daniel Petzold
Continuing our series on self-service BI tools and code-first, open source data science, we explore embedded analytics and why they are a critical way for a data science team to deliver insights. We also discuss the unique needs that will be demanded of data science teams as they deliver insights that are secure, scalable, and flexible to multiple end user’s needs.
Read more →
